Z-FLORES, Emigdio; TRUJILLO, Leonardo; LEGRAND, Pierrick; FAÏTA-AÏNSEBA, Frédérique

doi:10.3390/a13090221

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Z-FLORES, Emigdio
Instituto Tecnológico de Tijuana = Tijuana Institute of Technology [Tijuana]

TRUJILLO, Leonardo
Instituto Tecnológico de Tijuana = Tijuana Institute of Technology [Tijuana]

LEGRAND, Pierrick
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Université de Bordeaux [UB]

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Article de revue

Ce document a été publié dans

Algorithms. 2020-09, vol. 13, n° 9, p. 221

MDPI

Résumé en anglais

The design of efficient electroencephalogram (EEG) classification systems for the detectionof mental states is still an open problem. Such systems can be used to provide assistance to humansin tasks where a certain level of alertness is required, like in surgery or in the operation of heavymachines, among others. In this work, we extend a previous study where a classification system isproposed using a Common Spatial Pattern (CSP) and Linear Discriminant Analysis (LDA) for theclassification of two mental states, namely a relaxed and a normal state. Here, we propose an enhancedfeature extraction algorithm (Augmented Feature Extraction with Genetic Programming, or+FEGP)that improves upon previous results by employing a Genetic-Programming-based methodologyon top of the CSP. The proposed algorithm searches for non-linear transformations that build newfeatures and simplify the classification task. Although the proposed algorithm can be coupled withany classifier, LDA achieves 78.8% accuracy, the best predictive accuracy among tested classifiers,significantly improving upon previously published results on the same real-world dataset.< Réduire

Mots clés en anglais

EEG

Classification

Genetic programming

Feature extraction

Mental states

URI

https://oskar-bordeaux.fr/handle/20.500.12278/191843

DOI

http://dx.doi.org/10.3390/a13090221

Projet Européen

Analysis and classification of mental states of vigilance with evolutionary computation

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251